How can really bolster its analytic horsepower


Assignment:

Consider your Signature Assignment database design, and explore how you can really bolster its analytic horsepower by including data from other data sources. They could be publicly available data sources, like U.S. Census or World Health Organization data, or they may be from new primary data sources that you create (like a survey) to gather more variables to help boost the validity of your research design.

For this assignment, you must write a paper explaining the data warehouse options that would be the best fit to boost your analytic horsepower.

Your paper should address the following:

1. Summarize the starting schema that you have as your base design, from which you want to add in new data sources.

2. Research several additional new data sources that will bolster your research and choose a minimum of three that will achieve that objective.

3. Describe how each new source will add to the analytic horsepower of your intended output.

4. Establish a new theoretical design for warehousing these new sources (new star schema perhaps to meet the need of including these new data).

Create a new schema of what the additional data sources (1-3 tables per source) will look like. You may just add the newly proposed tables to the entity-relationship diagram from your Signature Assignment (there is no need to create a new database for this; just depict what the new data schema would look like with the new data sources added in)

Conclude with your best choice to store and manage your data and explain your reasons.

Length: 4 pages, not including title page

References: Include a minimum of 2 scholarly resources.

The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course.

Solution Preview :

Prepared by a verified Expert
Database Management System: How can really bolster its analytic horsepower
Reference No:- TGS03191987

Now Priced at $60 (50% Discount)

Recommended (95%)

Rated (4.7/5)